DocumentCode
2596116
Title
Extracting Lines in Noisy Image Using Directional Information
Author
Zhou, Jun ; Bischof, Walter F. ; Sanchez-Azofeifa, Arturo
Author_Institution
Dept. of Comput. Sci., Alberta Univ., Edmonton, Alta.
Volume
2
fYear
0
fDate
0-0 0
Firstpage
215
Lastpage
218
Abstract
Detection of lines in noisy image is not easy. When using Hough transform, multiple false peaks may be generated from collinear noisy edge points, which in turn may create false line segments. To overcome this problem, we introduce a method for detecting lines in noise based on directional information. Orientations are generated by Gabor filters to guide an anisotropic Gaussian filtering process, and they are also used in the peak selection in Hough transform. The experimental results show the effectiveness of this method
Keywords
Gabor filters; Gaussian processes; Hough transforms; feature extraction; Gabor filters; Hough transform; anisotropic Gaussian filtering; directional information; line extraction; noisy image; Anisotropic filters; Anisotropic magnetoresistance; Data mining; Detectors; Filtering; Gabor filters; Image edge detection; Image segmentation; Noise generators; Noise reduction;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location
Hong Kong
ISSN
1051-4651
Print_ISBN
0-7695-2521-0
Type
conf
DOI
10.1109/ICPR.2006.520
Filename
1699185
Link To Document